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2,696 papers
The growth of enterprise data volumes across the 2000s and 2010s pushed traditional batch-oriented data processing infrastructures past their practical limits, motivating a sustained shift toward distributed, stream-based architectures capable of supporting real-time analytics and machine learning (ML). This article sy...
The combination of multi-seed LOSO validation, seed-level variability analysis, baseline benchmarking, and systematic XAI auditing constitutes a pre-deployment diagnostic framework for identifying generalization risks in agricultural computer-vision systems operating under spatial uncertainty.
Machine learning (ML), a subset of artificial intelligence (AI), is revolutionizing health care. Given the intricate anatomy and functional complexity of the hand, AI applications in hand pathology are gaining prominence, particularly in the diagnosis of fractures, nerve injuries, and musculoskeletal disorders. This re...
Let G_m be the Genocchi numbers, G_m = 2(1 − 2^m) B_m, and p an odd prime. We prove that G_(2np^k) ≡ p · G_(2np^(k−1)) (mod p^(2k + 2 v_p(n))) for all n, k ≥ 1, and that this exponent is attained in most cases (552 of the 564 cases with p ≤ 59, k ≤ 3, 2np^k ≤ 800). The congruence is a direct consequence of the Kummer c...
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This paper builds a conceptual model that explains how artificial intelligence changes the temporal structure of trust in a brand and defines the threshold beyond which automation erodes trust instead of supporting it. The study applies framework synthesis to peer-reviewed literature published from 2018 onward, supplem...
Artificial intelligence (AI)-based mineral prospectivity mapping (MPM) has rapidly advanced through the integration of deep learning, multisource geoscience data, and increasingly complex representation-learning approaches. However, the reliability of AI-derived prospectivity predictions remains a critical challenge be...
Three months after deployment, Fortune 500 teams can't answer basic questions about their AI systems. David Ohnstad explains the fundamental mismatch: vendors design platforms for teams with skills that rarely exist in legacy enterprise environments. Full article: https://davidohnstad.net/enterprise-ai-implementation-t...
Penelitian ini mengembangkan model Business Intelligence yang mengintegrasikan Explainable AI dan analisis ketidakpastian untuk mendukung keputusan penjualan UMKM Coppo Awi. Data observasi mencakup 809 catatan produk-harian pada Januari–Juni 2025; sebanyak 739 observasi memenuhi kebutuhan fitur historis. Data dipisahka...
This document explains that Michael T. Dent, M.D.’s research process is driven by interdisciplinary conceptual synthesis across biology, chemistry, physics, medicine, and philosophy, with original ideas and hypotheses developed first and then tested against established theory, prior research, mathematics, and observati...
Background Workplace adoption of AI technologies depends, not only on technical performance, but also on whether people perceive these systems as fair, trustworthy, and understandable. Existing research utilises varied definitions for these concepts, impeding our understanding of how these factors contribute to AI adop...
Artificial intelligence has evolved from rule-based symbolic systems into learning architectures capable of perception, prediction, content generation, reasoning, planning, tool use, and increasingly autonomous action. This qualitative literature review examines this transition as more than a technological chronology....
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
Health & Bioscience
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
New research can help AI models understand crystalline materials in 3D and reason about their properties.
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